Investigation of thermodiffusion phenomenon under influence of vibration using image processing approach
Why this work is in the frame
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Bibliographic record
Abstract
Thermodiffusion is the appearance of concentration gradient in a mixture when subjected to a temperature gradient. Thermodiffusion or Soret effect plays an important role in the underground reservoir distribution. Consequently, a majority of petroleum research is focused on understanding this phenomenon. There are may experimental measurements of thermodiffusion. However, measurements conducted in a microgravity environment minimize the effect of gravity and leads to accurate results. This study demonstrates the influence of vibration on thermodiffusion measurement in a microgravity environment. The aim is to show how the variation of certain parameters such as the frequency and amplitude of translational vibration as well as the temperature would impact the composition of components in the mixture of Water-Isopropanol. The Fast Fourier Transform image processing technique is used to analyse the data obtained from optical digital interferometry. Moreover, two sets of experimental runs with negative and positive Soret coefficients are tested. The analysis shows the maximum separation of components for the case without any forced vibration. Furthermore, it is shown the increase in Rayleigh number corresponds to decrease in separation of components.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it